Tamay Besiroglu
- Modeling and Simulation top 0.5%
- Economics and Econometrics top 5%
- Infectious Diseases top 10%
- Clinical Psychology top 10%
- Epidemiology
- Co-authors
- John SalvatierSören MindermannAlexander John NormanGavin LeechJan BraunerAnna B. StephensonTomáš GavenčiakYee Whye Teh
- Topics
- COVID-19 epidemiological studies (4 papers)COVID-19 and Mental Health (1 paper)SARS-CoV-2 and COVID-19 Research (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Tamay Besiroglu
9 papers receiving 795 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 453
- Economics and Econometrics 218
- Infectious Diseases 172
- Clinical Psychology 128
- Epidemiology 113
Countries citing papers authored by Tamay Besiroglu
This map shows the geographic impact of Tamay Besiroglu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tamay Besiroglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamay Besiroglu more than expected).
Fields of papers citing papers by Tamay Besiroglu
This network shows the impact of papers produced by Tamay Besiroglu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tamay Besiroglu. The network helps show where Tamay Besiroglu may publish in the future.
Co-authorship network of co-authors of Tamay Besiroglu
This figure shows the co-authorship network connecting the top 25 collaborators of Tamay Besiroglu. A scholar is included among the top collaborators of Tamay Besiroglu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamay Besiroglu. Tamay Besiroglu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Compute Trends Across Three Eras of Machine Learningbreakdown → | 153 |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | Inferring the effectiveness of government interventions against COVID-19breakdown → | 630 |
About Tamay Besiroglu
Tamay Besiroglu is a scholar working on Modeling and Simulation, Virology and Health, having authored 10 papers that have together received 825 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), COVID-19 and Mental Health (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (453 citations), Infectious Diseases (172 citations) and Health (74 citations). Tamay Besiroglu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John Salvatier, Sören Mindermann, Alexander John Norman, Gavin Leech, Jan Brauner, Anna B. Stephenson, Tomáš Gavenčiak, Yee Whye Teh, Hong Ge and Yarin Gal. Their work appears in journals such as Science, Communications of the ACM and Research Policy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.